An Integration of Sentiment Analysis and MCDM Approach for Smartphone Recommendation

[1]  V. Bharathi,et al.  A Study on Mobile Phone Buying Behavior Using an Image-Based Survey , 2014 .

[2]  Maria Meler-Kapcia,et al.  CBR methodology application in an expert system for aided design ship's engine room automation , 2005, Expert Syst. Appl..

[3]  Nikos Manouselis,et al.  Analysis and Classification of Multi-Criteria Recommender Systems , 2007, World Wide Web.

[4]  Nicholas J. Belkin,et al.  Helping people find what they don't know , 2000, CACM.

[5]  Chuen Tse Kuah,et al.  Efficiency assessment of universities through data envelopment analysis , 2011, WCIT.

[6]  Varsha T. Lokare,et al.  Using the AHP and TOPSIS methods for decision making in best course selection after HSC , 2016, 2016 International Conference on Computer Communication and Informatics (ICCCI).

[7]  Gediminas Adomavicius,et al.  Multi-Criteria Recommender Systems , 2011, Recommender Systems Handbook.

[8]  Alla V. Tovares,et al.  Mobile phones as cultural tools for identity construction among college students in Oman, Ukraine, and the U.S. , 2017 .

[9]  R. W. Saaty,et al.  The analytic hierarchy process—what it is and how it is used , 1987 .

[10]  Matthew K. O. Lee,et al.  Examining the influence of online reviews on consumers' decision-making: A heuristic-systematic model , 2014, Decis. Support Syst..

[11]  Milena M. Head,et al.  Understanding student attitudes of mobile phone features: Rethinking adoption through conjoint, cluster and SEM analyses , 2012, Comput. Hum. Behav..

[12]  Young Min Kim,et al.  Using AHP to determine intangible priority factors for technology transfer adoption , 2012, Expert Syst. Appl..

[13]  Charlotte H. Mason,et al.  The link between attractiveness of “Extrabrand” attributes and the adoption of innovations , 1999 .

[14]  Selwyn Piramuthu,et al.  Product recommendation with latent review topics , 2018, Inf. Syst. Frontiers.

[15]  Mike Y. Chen,et al.  Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web , 2001 .

[16]  Hsi-Peng Lu,et al.  Exploring the mass adoption of third-generation (3G) mobile phones in Taiwan , 2009 .

[17]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

[18]  P. Fishburn Conjoint measurement in utility theory with incomplete product sets , 1967 .

[19]  Gülçin Büyüközkan,et al.  Multi Criteria Group Decision Making Approach for Smart Phone Selection Using Intuitionistic Fuzzy TOPSIS , 2016, Int. J. Comput. Intell. Syst..

[20]  Sorin Nadaban,et al.  Fuzzy TOPSIS: A General View , 2016 .

[21]  Bing Liu,et al.  Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User Reviews , 2017, KDD.

[22]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[23]  Diana Gavilan,et al.  The influence of online ratings and reviews on hotel booking consideration , 2018, Tourism Management.

[24]  Geert Wets,et al.  Benchmarking road safety: lessons to learn from a data envelopment analysis. , 2009, Accident; analysis and prevention.

[25]  Jaemin Jung,et al.  Mobile communication for human needs: A comparison of smartphone use between the US and Korea , 2014, Comput. Hum. Behav..

[26]  Li Chen,et al.  Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification , 2010, 2010 IEEE International Conference on Data Mining Workshops.

[27]  Gavriel Salvendy,et al.  Exploring critical usability factors for handsets , 2010, Behav. Inf. Technol..

[28]  Antti Oulasvirta,et al.  Habits make smartphone use more pervasive , 2011, Personal and Ubiquitous Computing.

[29]  KohNoi Sian,et al.  Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales , 2014 .

[30]  Gavriel Salvendy,et al.  Diversified users’ satisfaction with advanced mobile phone features , 2006, Universal Access in the Information Society.

[31]  Georg Lackermair,et al.  Importance of Online Product Reviews from a Consumer's Perspective , 2013 .

[32]  Andreas Krause,et al.  Explore-exploit in top-N recommender systems via Gaussian processes , 2014, RecSys '14.

[33]  Yasemin Demiraslan Çevik,et al.  Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students , 2016, Comput. Hum. Behav..

[34]  Margherita Pagani Determinants of adoption of third generation mobile multimedia services , 2004 .

[35]  Nan Hu,et al.  Ratings lead you to the product, reviews help you clinch it? The mediating role of online review sentiments on product sales , 2014, Decis. Support Syst..

[36]  H. Haleh,et al.  A fuzzy MCDM model for allocating orders to suppliers in a supply chain under uncertainty over a multi-period time horizon , 2011, Expert Syst. Appl..

[37]  Gang Kou,et al.  Analysing discussions in social networks using group decision making methods and sentiment analysis , 2018, Inf. Sci..

[38]  Li Chen,et al.  Recommender systems based on user reviews: the state of the art , 2015, User Modeling and User-Adapted Interaction.

[39]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[40]  Abraham Charnes,et al.  Measuring the efficiency of decision making units , 1978 .

[41]  Amélie Marian,et al.  Improving the quality of predictions using textual information in online user reviews , 2013, Inf. Syst..

[42]  Barry Smyth,et al.  Combining similarity and sentiment in opinion mining for product recommendation , 2015, Journal of Intelligent Information Systems.

[43]  Cengiz Kahraman,et al.  An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment , 2011, Expert Syst. Appl..

[44]  Gülçin Büyüközkan,et al.  Using a multi-criteria decision making approach to evaluate mobile phone alternatives , 2007, Comput. Stand. Interfaces.

[45]  Nitin Garg,et al.  Combining decision tree and MAUT for selecting a country for a global manufacturing facility , 2007 .

[46]  David L. Olson,et al.  Comparison of weights in TOPSIS models , 2004, Math. Comput. Model..

[47]  Zhiguo Gong,et al.  Mining Product Features from Online Reviews , 2010, 2010 IEEE 7th International Conference on E-Business Engineering.

[48]  Rajeev Jain,et al.  A Fuzzy AHP and PROMETHEE method-based heuristic for disassembly line balancing problems , 2014 .

[49]  Soumitra Dutta,et al.  Case-Based Reasoning Systems: From Automation to Decision-Aiding and Simulation , 1997, IEEE Trans. Knowl. Data Eng..

[50]  Oren Etzioni,et al.  Extracting Product Features and Opinions from Reviews , 2005, HLT.

[51]  Erkan Celik,et al.  Application of AHP and VIKOR Methods under Interval Type 2 Fuzzy Environment in Maritime Transportation , 2017 .

[52]  Rommel N. Carvalho,et al.  Applying clustering and AHP methods for evaluating suspect healthcare claims , 2017, J. Comput. Sci..

[53]  Maoguo Gong,et al.  NNIA-RS: A multi-objective optimization based recommender system , 2015 .

[54]  Jianqiang Wang,et al.  A Linguistic Intuitionistic Cloud Decision Support Model with Sentiment Analysis for Product Selection in E-commerce , 2019, Int. J. Fuzzy Syst..

[55]  Eun-Sung Chung,et al.  Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS , 2013 .

[56]  Panagiotis G. Ipeirotis,et al.  Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics , 2010, IEEE Transactions on Knowledge and Data Engineering.

[57]  R. Duncan Characteristics of Organizational Environments and Perceived Environmental Uncertainty. , 1972 .

[58]  Gaurav Kumar,et al.  A multi-criteria decision making approach for recommending a product using sentiment analysis , 2018, 2018 12th International Conference on Research Challenges in Information Science (RCIS).

[59]  Gang Kou,et al.  Evaluation of feature selection methods for text classification with small datasets using multiple criteria decision-making methods , 2020, Appl. Soft Comput..

[60]  M K CheungChristy,et al.  Examining the influence of online reviews on consumers' decision-making , 2014 .

[61]  Michael J. Pazzani,et al.  A hybrid user model for news story classification , 1999 .

[62]  Roland T. Rust,et al.  Feature Fatigue: When Product Capabilities Become Too Much of a Good Thing , 2005 .

[63]  Mao-Jiun J. Wang,et al.  Personnel selection using fuzzy MCDM algorithm , 1994 .

[64]  Wei Wang,et al.  Opinion-enhanced collaborative filtering for recommender systems through sentiment analysis , 2015, New Rev. Hypermedia Multim..

[65]  Qing Cao,et al.  Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach , 2011, Decis. Support Syst..

[66]  Sally Rao Hill,et al.  Factors influencing the adoption of personalisation mobile services: empirical evidence from young Australians , 2010, Int. J. Mob. Commun..

[67]  Na Liu,et al.  Identifying design feature factors critical to acceptance and usage behavior of smartphones , 2017, Comput. Hum. Behav..

[68]  Jianqiang Wang,et al.  Multi-criteria PROMETHEE method based on possibility degree with Z-numbers under uncertain linguistic environment , 2020, J. Ambient Intell. Humaniz. Comput..

[69]  Gavriel Salvendy,et al.  A survey of what customers want in a cell phone design , 2007, Behav. Inf. Technol..

[70]  George P. Moschis,et al.  Social Comparison and Informal Group Influence , 1976 .

[71]  Markus Schaal,et al.  Sentimental product recommendation , 2013, RecSys.

[72]  Konstantin E. Samouylov,et al.  Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions , 2019, Knowl. Based Syst..

[73]  Byeong Ho Kang,et al.  AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings , 2016, Lecture Notes in Computer Science.

[74]  Ching-Lai Hwang,et al.  Multiple Attribute Decision Making: Methods and Applications - A State-of-the-Art Survey , 1981, Lecture Notes in Economics and Mathematical Systems.

[75]  Hongyan Liu,et al.  Combining user preferences and user opinions for accurate recommendation , 2013, Electron. Commer. Res. Appl..